class_docstr: Policy object that implements a TD3-like actor critic
  
  :param sess: (TensorFlow session) The current TensorFlow session
  :param ob_space: (Gym Space) The observation space of the environment
  :param ac_space: (Gym Space) The action space of the environment
  :param n_env: (int) The number of environments to run
  :param n_steps: (int) The number of steps to run for each environment
  :param n_batch: (int) The number of batch to run (n_envs * n_steps)
  :param reuse: (bool) If the policy is reusable or not
  :param scale: (bool) whether or not to scale the input
docstr: Creates the two Q-Values approximator
  
  :param obs: (TensorFlow Tensor) The observation placeholder (can be None for default placeholder)
  :param action: (TensorFlow Tensor) The action placeholder
  :param reuse: (bool) whether or not to reuse parameters
  :param scope: (str) the scope name
  :return: ([tf.Tensor]) Mean, action and log probability
docstr_tok: ["Creates","the","two","Q-Values","approximator",":","param","obs",":","(","TensorFlow","Tensor",")","The","observation","placeholder","(","can","be","None","for","default","placeholder",")",":","param","action",":","(","TensorFlow","Tensor",")","The","action","placeholder",":","param","reuse",":","(","bool",")","whether","or","not","to","reuse","parameters",":","param","scope",":","(","str",")","the","scope","name",":","return",":","(","[","tf.Tensor","]",")","Mean",",","action","and","log","probability"]
code: def make_critics(
      self, obs=None, action=None, reuse=False, scope="qvalues_fn"
  ):
      """
      Creates the two Q-Values approximator
  
      :param obs: (TensorFlow Tensor) The observation placeholder (can be None for default placeholder)
      :param action: (TensorFlow Tensor) The action placeholder
      :param reuse: (bool) whether or not to reuse parameters
      :param scope: (str) the scope name
      :return: ([tf.Tensor]) Mean, action and log probability
      """
      raise NotImplementedError
  
imports: import tensorflow
  from gym.spaces import Box
  from stable_baselines.common.policies import BasePolicy, nature_cnn, register_policy
  from stable_baselines.common.tf_layers import mlp
label_desc: Use image node_id 3 for calling the TD3Policy obj's underlying member method code with example usage: obj.make_critics(obs, action, reuse, scope) without return types